iPhone 16
Geekbench AI Score
3451
Single Precision Score
30446
Half Precision Score
43969
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 06:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (HP)
|
100% |
14641
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
19870
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17715
287.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22147
359.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6020
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
129373
151.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
264725
310.3 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
15409
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
21117
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
2630
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
29410
349.4 IPS |
|
|
Face Detection (Q)
|
100% |
53579
636.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6184
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
82411
634.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
142402
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
15068
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204656
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295826
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4278
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49927
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80711
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6488
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6286
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8240
141.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9587
165.7 IPS |
